C10158v5 Bachelor of Mathematics and Computing
Award(s): Bachelor of Mathematics and Computing (BMathComp)UAC code: 609045 (Autumn semester, Spring semester)
CRICOS code: 029389B
Commonwealth supported place?: Yes
Load credit points: 144
Course EFTSL: 3
Location: City campus
Overview
Career options
Admission requirements
Assumed knowledge
Course duration and attendance
Course structure
Course completion requirements
Course program
Honours
Professional recognition
Other information
Overview
The Bachelor of Mathematics and Computing is designed to meet the increasing industry need for graduates with both computational and analytical skills. It offers the prospect of careers that require a sound knowledge of computing together with the ability to analyse and model practical situations.
This course gives students the underlying mathematics, computing language and the ability to model and analyse practical situations. Students develop advanced skills in statistics and operations research to interpret data and put it to use. Mathematical and computational techniques are increasingly important for commercial, industrial and governmental activities and there is corresponding demand for these graduates.
Career options
Career options include consumer analytics, data science, data analytics, database development, marketing research, risk analytics, web conversion optimisation, programming, computational modelling, scheduling and logistics, and statistical analysis.
Admission requirements
Applicants must have completed an Australian Year 12 qualification, Australian Qualifications Framework Diploma, or equivalent Australian or overseas qualification at the required level.
The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 58-66
Eligibility for admission does not guarantee offer of a place.
International students
Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
Assumed knowledge
2-unit Mathematics and English.
Mathematics Extension 1 is recommended.
Course duration and attendance
Students can complete the course over three years full time. Full-time attendance involves approximately 16 hours each week on campus.
Students may also be able to complete the course in part-time mode, usually at the rate of two subjects a semester (a 50 per cent load), taking six years to complete. Part-time students are required to attend some sessions in daytime hours.
Course structure
The course comprises 144 credit points made up of 72 credit points of mathematics core subjects and 48 credit points of information technology core subjects, plus a 24-credit-point information technology sub-major.
Course completion requirements
STM90651 Core subjects (Information Technology) | 48cp | |
STM90917 Mathematics Foundation subjects | 48cp | |
CBK91000 Choice (Maths and Computing) | 48cp | |
Total | 144cp |
Course program
Typical course programs are shown below.
Data Analytics major, Autumn commencing | ||
Year 1 | ||
Autumn semester | ||
31265 Communication for IT Professionals | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
Spring semester | ||
35353 Regression Analysis | 6cp | |
48023 Programming Fundamentals | 6cp | |
31268 Web Systems | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35140 Introduction to Quantitative Management | 6cp | |
31250 Introduction to Data Analytics | 6cp | |
35252 Mathematical Statistics | 6cp | |
Spring semester | ||
31271 Database Fundamentals | 6cp | |
31269 Business Requirements Modelling | 6cp | |
37161 Probability and Random Variables | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Year 3 | ||
Autumn semester | ||
41004 Analytics Capstone Project | 6cp | |
Select 12 credit points from the following: | 12cp | |
35356 Design and Analysis of Experiments | 6cp | |
35363 Stochastic Models | 6cp | |
35457 Multivariate Statistics | 6cp | |
Select 6 credit points from the following: | 6cp | |
31253 Database Programming | 6cp | |
48221 Engineering Computations | 6cp | |
Spring semester | ||
31272 Project Management and the Professional | 6cp | |
Select 6 credit points from the following: | 6cp | |
35100 Introduction to Sample Surveys | 6cp | |
35355 Quality Control | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31005 Advanced Data Analytics | 6cp | |
31075 Object-relational Databases | 6cp | |
48221 Engineering Computations | 6cp | |
31050 Programming with Patterns | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Data Analytics major, Spring commencing | ||
Year 1 | ||
Spring semester | ||
31265 Communication for IT Professionals | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35140 Introduction to Quantitative Management | 6cp | |
48023 Programming Fundamentals | 6cp | |
31268 Web Systems | 6cp | |
Spring semester | ||
35353 Regression Analysis | 6cp | |
31269 Business Requirements Modelling | 6cp | |
37161 Probability and Random Variables | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 3 | ||
Autumn semester | ||
31250 Introduction to Data Analytics | 6cp | |
35252 Mathematical Statistics | 6cp | |
31271 Database Fundamentals | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Spring semester | ||
31272 Project Management and the Professional | 6cp | |
Select 6 credit points from the following: | 6cp | |
35100 Introduction to Sample Surveys | 6cp | |
35355 Quality Control | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31005 Advanced Data Analytics | 6cp | |
31075 Object-relational Databases | 6cp | |
48221 Engineering Computations | 6cp | |
31050 Programming with Patterns | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Year 4 | ||
Autumn semester | ||
41004 Analytics Capstone Project | 6cp | |
Select 12 credit points from the following: | 12cp | |
35356 Design and Analysis of Experiments | 6cp | |
35363 Stochastic Models | 6cp | |
35457 Multivariate Statistics | 6cp | |
Select 6 credit points from the following: | 6cp | |
31253 Database Programming | 6cp | |
48221 Engineering Computations | 6cp | |
Computational Mathematics major, Autumn commencing | ||
Year 1 | ||
Autumn semester | ||
31265 Communication for IT Professionals | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
Spring semester | ||
37161 Probability and Random Variables | 6cp | |
48023 Programming Fundamentals | 6cp | |
31268 Web Systems | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35140 Introduction to Quantitative Management | 6cp | |
31269 Business Requirements Modelling | 6cp | |
Select 6 credit points from the following: | 6cp | |
35363 Stochastic Models | 6cp | |
35232 Advanced Calculus | 6cp | |
Spring semester | ||
31271 Database Fundamentals | 6cp | |
35353 Regression Analysis | 6cp | |
48024 Applications Programming | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Year 3 | ||
Autumn semester | ||
41004 Analytics Capstone Project | 6cp | |
Select 12 credit points from the following: | 12cp | |
35252 Mathematical Statistics | 6cp | |
35363 Stochastic Models | 6cp | |
35232 Advanced Calculus | 6cp | |
Select 6 credit points from the following: | 6cp | |
31251 Data Structures and Algorithms | 6cp | |
31000 e-Business Trading | 6cp | |
31260 Interface Design | 6cp | |
31253 Database Programming | 6cp | |
48221 Engineering Computations | 6cp | |
31250 Introduction to Data Analytics | 6cp | |
Spring semester | ||
31272 Project Management and the Professional | 6cp | |
Select 6 credit points from the following: | 6cp | |
35231 Differential Equations | 6cp | |
35335 Mathematical Methods | 6cp | |
35361 Stochastic Processes | 6cp | |
35391 Seminar (Mathematics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31259 Intelligent Agents | 6cp | |
48440 Software Engineering Practice | 6cp | |
48221 Engineering Computations | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Computational Mathematics major, Spring commencing | ||
Year 1 | ||
Spring semester | ||
31265 Communication for IT Professionals | 6cp | |
48023 Programming Fundamentals | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35140 Introduction to Quantitative Management | 6cp | |
48024 Applications Programming | 6cp | |
31268 Web Systems | 6cp | |
Spring semester | ||
35353 Regression Analysis | 6cp | |
37161 Probability and Random Variables | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 3 | ||
Autumn semester | ||
31271 Database Fundamentals | 6cp | |
31269 Business Requirements Modelling | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Select 6 credit points from the following: | 6cp | |
35252 Mathematical Statistics | 6cp | |
35363 Stochastic Models | 6cp | |
35232 Advanced Calculus | 6cp | |
Spring semester | ||
31272 Project Management and the Professional | 6cp | |
Select 6 credit points from the following: | 6cp | |
35231 Differential Equations | 6cp | |
35335 Mathematical Methods | 6cp | |
35361 Stochastic Processes | 6cp | |
35391 Seminar (Mathematics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31259 Intelligent Agents | 6cp | |
48440 Software Engineering Practice | 6cp | |
48221 Engineering Computations | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Year 4 | ||
Autumn semester | ||
41004 Analytics Capstone Project | 6cp | |
Select 12 credit points from the following: | 12cp | |
35252 Mathematical Statistics | 6cp | |
35363 Stochastic Models | 6cp | |
35232 Advanced Calculus | 6cp | |
Select 6 credit points from the following: | 6cp | |
31251 Data Structures and Algorithms | 6cp | |
31000 e-Business Trading | 6cp | |
31260 Interface Design | 6cp | |
31253 Database Programming | 6cp | |
48221 Engineering Computations | 6cp | |
31250 Introduction to Data Analytics | 6cp | |
Business Modelling major, Autumn commencing | ||
Year 1 | ||
Autumn semester | ||
31265 Communication for IT Professionals | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
Spring semester | ||
35140 Introduction to Quantitative Management | 6cp | |
31269 Business Requirements Modelling | 6cp | |
31268 Web Systems | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35241 Optimisation in Quantitative Management | 6cp | |
31271 Database Fundamentals | 6cp | |
48023 Programming Fundamentals | 6cp | |
Spring semester | ||
35353 Regression Analysis | 6cp | |
37161 Probability and Random Variables | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Select 6 credit points from the following: | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31258 Innovations for Global Relationship Management | 6cp | |
31276 Networked Enterprise Architecture | 6cp | |
Year 3 | ||
Autumn semester | ||
35340 Quantitative Management Practice | 6cp | |
31272 Project Management and the Professional | 6cp | |
35363 Stochastic Models | 6cp | |
Select 6 credit points from the following: | 6cp | |
31245 Business Process and IT Strategy | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31255 Finance and IT | 6cp | |
31257 Information System Development Methodologies | 6cp | |
Spring semester | ||
31280 Strategic IT Project | 6cp | |
Select 6 credit points from the following: | 6cp | |
35100 Introduction to Sample Surveys | 6cp | |
35342 Nonlinear Methods in Quantitative Management | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp | |
35355 Quality Control | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31258 Innovations for Global Relationship Management | 6cp | |
31276 Networked Enterprise Architecture | 6cp | |
31282 Systems Testing and Quality Management | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Business Modelling major, Spring commencing | ||
Year 1 | ||
Spring semester | ||
35140 Introduction to Quantitative Management | 6cp | |
31265 Communication for IT Professionals | 6cp | |
48023 Programming Fundamentals | 6cp | |
37131 Introduction to Linear Dynamical Systems | 6cp | |
Year 2 | ||
Autumn semester | ||
35212 Computational Linear Algebra | 6cp | |
35241 Optimisation in Quantitative Management | 6cp | |
31268 Web Systems | 6cp | |
37151 Introduction to Data Analysis | 6cp | |
Spring semester | ||
35353 Regression Analysis | 6cp | |
37161 Probability and Random Variables | 6cp | |
31266 Introduction to Information Systems | 6cp | |
37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
Year 3 | ||
Autumn semester | ||
31269 Business Requirements Modelling | 6cp | |
31271 Database Fundamentals | 6cp | |
Select 6 credit points from the following: | 6cp | |
31270 Networking Essentials | 6cp | |
48721 Strategic e-Business Technologies | 6cp | |
Select 6 credit points from the following: | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31255 Finance and IT | 6cp | |
31257 Information System Development Methodologies | 6cp | |
Spring semester | ||
31280 Strategic IT Project | 6cp | |
Select 6 credit points from the following: | 6cp | |
35100 Introduction to Sample Surveys | 6cp | |
35342 Nonlinear Methods in Quantitative Management | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp | |
35355 Quality Control | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Select 6 credit points from the following: | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31258 Innovations for Global Relationship Management | 6cp | |
31276 Networked Enterprise Architecture | 6cp | |
31282 Systems Testing and Quality Management | 6cp | |
35383 Programming for Mathematical Modelling and Data Analysis | 6cp | |
Year 4 | ||
Autumn semester | ||
35340 Quantitative Management Practice | 6cp | |
31272 Project Management and the Professional | 6cp | |
35363 Stochastic Models | 6cp | |
Select 6 credit points from the following: | 6cp | |
31245 Business Process and IT Strategy | 6cp | |
31247 Collaborative Business Processes | 6cp | |
31255 Finance and IT | 6cp | |
31257 Information System Development Methodologies | 6cp |
Honours
Suitably qualified graduates are eligible to proceed to an additional year of advanced study in the Bachelor of Science (Honours) in Mathematics (C09020) or the Bachelor of Science (Honours) in Information Technology (C09019).
Professional recognition
Graduates of this course are eligible for professional-level membership of the Australian Computer Society.
Other information
Further information is available from:
Building 6 Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS www.ask.uts.edu.au
